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blender-ui

Unofficial Blender fork to explore user interface improvements

blendersciviz

Preliminary code for plotting data in Blender.

blendersfm

An add-on for Blender that provides an easy way to create meshes from multiple photographs

blending-camera

opencv + ios

blendocv

Computer Vision Graphical Tool based on Blender and OpenCV

blendshapegenerationcpp

blindconsistency

Blind Video Temporal Consistency

block

An intelligent block matrix library for numpy, PyTorch, and beyond.

blockplayer

Blockplayer is a system that uses a depth sensor to acquire and track a building block model in realtime, as the user assembles and interacts with the physical model. This is the open-source project code that goes along with the IEEE TVGC 2012 (IEEE VR 2012) paper "Interactive 3D Model Acquisition and Tracking for Building Block Structures".

blog

oh~~

blpfusion

Exposure fusion using boosting Laplacian pyramid (IEEE TCYB14)

blt

Lattice-based integer linear programming solver

blur-detect-use-haar-wavelet

An implementation of paper Blur Detection for Digital Images Using Wavelet Transform

blur-invariant-features

bm3d

Clone from http://www.cs.tut.fi/~foi/GCF-BM3D/index.html#ref_software

bnf_globalization

BNF Globalization Code (CVPR 2016)

bnnsurvival

Bagged k-nearest neighbors survival probability prediction

boda

Boda: A C++ Framework for Efficient Experiments in Computer Vision

bodies-ras-2015

bodyskeletontracker

Human body skeleton detection an tracking from video camera in real time. It was developed for an Orbbec Astra camera DRGB (Depth-RGB), uses the OpenNI2 driver, it also works with Asus Xtion and Prime sense. It works with normal webcam too, in the case of background is smooth and white.

bold

BOLD - Binary Online Learned Descriptor

bold-descriptor-tests

[Image Processing] BOLD descriptor tests

boltzmannbaby

BoltzmannBaby is a C/C++ OpenMP-4.0 RBM-based deep learning research code used to understand the underlying thermodynamic properties of deep networks in terms of Temperature, Pressure and Volume -- as well as energy density and entropy currents. It uses general binary input structures by way of binning up (mostly) arbitrary 2-d data structures. Almost any 2-d data can be used as inputs through the use of the binning mechanism. Two binning subroutines are currently available: one for time-series or spatial location data (e.g. images or f(x) style data), and another for character-based data (raw text) in which characters are represented by the y-axis of the matrix, and the spatial location in a sentence or word is represented by the x axis. The current benchmark problems use either the character/text based data, or else a noisy sinusoidal function. The learning rate is automatically adjusted using a simple AdaGrad technique. The bias neurons are updated each epoch or kept fixed depending on user preference. A number of shifted sub-samples can be used to enlarge the data set (useful in text based learning). The default setup uses a set of early childhood reading samples, fables, Kafka short stories to train layer wise each RBM. Arbitrary numbers of additional RBMs can be stacked in the chain, but the default configuration uses eight. Full documentation is in the works.

boofcv

Fast computer vision library written entirely in Java.

boost-cookbook-4880os

Source code examples from "Boost C++ Application Development Cookbook" (ISBN: 9781849514880)

boost-for-android

Android port of Boost C++ Libraries

boost.application

Boost Application Library

boost.dll

Library for comfortable work with DLL and DSO

boostgraphtutorial

A well-connected C++11 Boost.Graph tutorial

boosting_da

Boosting for Domain Adaptation